Summary of Functional Autoencoder For Smoothing and Representation Learning, by Sidi Wu et al.
Functional Autoencoder for Smoothing and Representation Learningby Sidi Wu, Cédric Beaulac, Jiguo CaoFirst submitted to…
Summary of Pupae: Intuitive and Actionable Explanations For Time Series Anomalies, by Audrey Der et al.
PUPAE: Intuitive and Actionable Explanations for Time Series Anomaliesby Audrey Der, Chin-Chia Michael Yeh, Yan…
Summary of Technical Report: on the Convergence Of Gossip Learning in the Presence Of Node Inaccessibility, by Tian Liu et al.
Technical Report: On the Convergence of Gossip Learning in the Presence of Node Inaccessibilityby Tian…
Summary of Deep Ensemble Shape Calibration: Multi-field Post-hoc Calibration in Online Advertising, by Shuai Yang et al.
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertisingby Shuai Yang, Hao Yang, Zhuang…
Summary of Enhancing Surveillance Camera Fov Quality Via Semantic Line Detection and Classification with Deep Hough Transform, by Andrew C. Freeman et al.
Enhancing Surveillance Camera FOV Quality via Semantic Line Detection and Classification with Deep Hough Transformby…
Summary of Accelerating Data Generation For Neural Operators Via Krylov Subspace Recycling, by Hong Wang et al.
Accelerating Data Generation for Neural Operators via Krylov Subspace Recyclingby Hong Wang, Zhongkai Hao, Jie…
Summary of Dimensional Neuroimaging Endophenotypes: Neurobiological Representations Of Disease Heterogeneity Through Machine Learning, by Junhao Wen et al.
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learningby Junhao Wen, Mathilde Antoniades,…
Summary of Improving Classification Performance with Human Feedback: Label a Few, We Label the Rest, by Natan Vidra et al.
Improving Classification Performance With Human Feedback: Label a few, we label the restby Natan Vidra,…
Summary of Sharing Knowledge in Multi-task Deep Reinforcement Learning, by Carlo D’eramo et al.
Sharing Knowledge in Multi-Task Deep Reinforcement Learningby Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli,…
Summary of Towards Scalable and Robust Model Versioning, by Wenxin Ding et al.
Towards Scalable and Robust Model Versioningby Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao…